@article{fdi:010093576, title = {{A}ssessment of spatial distribution of organic contaminants and metallic compounds on a tropical island' coral reef fish communities}, author = {{W}ejieme, {N}. and {V}igliola, {L}aurent and {P}arravicini, {V}. and {N}icolay, {A}. and {W}afo, {E}. and {B}ustamante, {P}. and {L}etourneur, {Y}.}, editor = {}, language = {{ENG}}, abstract = {{T}he {N}ew {C}aledonian archipelago is an important hotspot of marine biodiversity. {D}ue to mining activities, urbanization, and industrialization, significant amounts of contaminants are discharged into the lagoon. {T}his study analysed the concentrations, spatial distribution, and potential drivers of 14 metallic compounds and trace elements ({MTE}s) and 22 persistent organic pollutants ({POP}s) in similar to 400 coral reef fish sampled from various sites around {N}ew {C}aledonia, across a gradient from mining centers to remote, uninhabited locations. {B}oosted regression trees modelling explained between 61 and 86 % of the global variation in {MTE}s and {POP}s concentration. {F}ish body size emerged as the most important correlate of {MTE}s and {POP}s concentrations in coral reef fish. {M}onthly rainfalls were the second most important variable for {POP}s, whereas the reef area was the second variable explaining {MTE} concentrations. {O}ur modelling approach allowed us to predict and map the distribution of concentrations at the fish community level for 17 contaminants (9 {MTE}s and 8 {POP}s). {P}redicted concentrations ranged from similar to 1.5 ng.g(-1) (beta-endosulfan) to similar to 11.5 mu g.g(-1) ({N}i), and revealed a widespread contamination throughout the lagoon, from the coast to the barrier reef. {C}ontamination by mining-related elements ({N}i, {C}r ... ) were clearly influenced by the surface area of mining registry and to lithology to a lesser extent, whereas {H}g contamination strongly depended on biological variables. {O}ur study is the largest of its kind at the archipelago scale, combining data on 36 contaminants in similar to 400 fish samples with a modelling framework offering insights into underlying processes and spatial data for policy use.}, keywords = {{P}ollutants ; {M}ining activities ; {A}nthropogenic impacts ; {M}odelling ; {P}acific {O}cean ; {NOUVELLE} {CALEDONIE} ; {PACIFIQUE}}, booktitle = {}, journal = {{M}arine {P}ollution {B}ulletin}, volume = {217}, numero = {}, pages = {118031 [13 p.]}, ISSN = {0025-326{X}}, year = {2025}, DOI = {10.1016/j.marpolbul.2025.118031}, URL = {https://www.documentation.ird.fr/hor/fdi:010093576}, }